CleanSlop vs Flowstep: Your AI Design Assistant: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of CleanSlop and Flowstep: Your AI Design Assistant — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
CleanSlop
CleanSlop
Scans vibe-coded apps for launch-blocking issues like leaked keys and data exposure, and reports what to fix first, right from your coding agent.
Key features
- Agent-Native Scanning: Tell Claude Code, Codex, Cursor or other agents to scan with CleanSlop and fix findings where you build.
- System-Level Code Mapping: Maps routes, background jobs, data and external services so each finding follows a real call path.
- Prioritized Reports: Findings grouped as needs attention, worth a look and minor, worst first.
- Evidence for Every Finding: Shows where each issue lives in your code and why it was flagged.
- Plain-English Fixes: Explains what is wrong, why it matters and what to do about it.
- Copy for LLM: Hands any report to your AI tool so it can apply the fixes.
- GitHub App Integration: Scan only the repositories you select, read-only access.
- Expert Triage Calls: Book a 15-minute call with a CleanSlop engineer to walk through findings.
Best for
- A solo founder checks a Next.js and Supabase app built with an AI coding assistant before launching.
- A developer discovers an exposed AI API key bundled into browser code and moves it to a server route.
- A side-project builder verifies that one user's data cannot be read by another through database policies.
- A Claude Code user runs a scan from the terminal and has the agent fix the top findings.
- A team lead gets a short prioritized list instead of hundreds of linter warnings.
- An indie hacker books an expert triage call to confirm an ambiguous finding.
Flowstep: Your AI Design Assistant
Flowstep
Generates production-ready UI from text prompts with chat-driven iteration, Figma export, code export, and IDE integration via MCP.
Key features
- Production-ready UI Generation: Converts plain-text prompts into structured, production-quality user interfaces ready for further refinement or export.
- Chat-driven Iteration: Provides a conversational interface to iteratively tweak layouts, components, and visual details without leaving the tool.
- Figma Export: Copies or syncs generated UI directly to Figma as editable layers and components for designer workflows.
- Code Export: Exports implementation-ready frontend code from designs to accelerate developer handoff and reduce manual translation.
- IDE Integration via MCP: Connects to developers' IDEs through MCP to pull designs and code directly into development environments, streamlining integration.
- Generate production-ready UI from natural language text prompts
- Chat-based iterative refinement of generated UI
- Copy or sync designs to Figma
- Export frontend code from generated designs
- Connect IDEs via MCP for direct developer integration
- Support for rapid prototyping and design-to-development handoff
Best for
- Rapid MVP UI Creation: Produce initial, production-ready interfaces from product requirements to accelerate minimum viable product development.
- Designer–Developer Handoff: Export polished designs to Figma and generate code to minimize manual translation and speed up implementation.
- Iterative Design Exploration: Use the chat interface to quickly explore multiple layout and style variations with instant updates.
- Frontend Acceleration for Teams: Generate reusable components and export code to reduce repetitive UI implementation work across projects.
- Embedding into Dev Workflows: Connect via MCP to bring generated UI and code directly into a developer's IDE for faster integration and testing.
- Rapidly create UI mockups and prototypes from product requirements or user stories
- Accelerate design-to-code handoffs by exporting production-ready frontend code
- Enable designers to push iterations quickly into Figma for collaboration
- Allow developers to connect their IDE and import UI artifacts into the codebase via MCP
- Prototype new product flows and validate user interfaces with stakeholders